Bibliometric Analysis of Rumor Propagation Research Through Web of Science from 1989 to 2019

Wang, Zhiying; Zhao, Hongli; Nie, Huifang

doi:10.1007/s10955-019-02440-y

Cited by 9 publications

(8 citation statements)

References 71 publications

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“…The constraint and data selection setting in VOSviewer is shown in Table 2. The same study design is already adopted by researchers 35–37 in their proposed work, motivated from previous research we apply same study design in our proposed research work.…”

Section: Methodsmentioning

confidence: 99%

Bibliometric analysis of rumor detection via web of science from 1989 to 2021

Rani

Bhardwaj

Das

et al. 2022

Concurrency and Computation

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Through the enhancement of numerous social media sites, the rumor spread more rapidly among society and influences people in a very negative way. Nowadays, more attention is given by researchers to mitigating the threats produced by rumors. Bibliometric analysis is a prevalent and rigorous technique for discovering and investigating large volumes of systematic data. It assists us to identify the important aspects of that particular field. Motivated by earlier research we used this approach for our present study. The present study shows bibliometric analysis through VOSviewer software of 2935 records related to rumor dissemination by collecting the data from the web of science from 1989 to 2021. The bibliometric results have shown publication trends, main journals, most cited articles, most productive country, prominent authors, and institutions. Further net map analysis illustrates the growth of rumor detection in past, present, and future as well. Bibliometric and network analysis results from this research will significantly facilitate understanding the progress and trends in rumor detection.

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Section: Methodsmentioning

confidence: 99%

Bibliometric analysis of rumor detection via web of science from 1989 to 2021

Rani

Bhardwaj

Das

et al. 2022

Concurrency and Computation

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“…It amalgamates the evolutionary trends, visualization maps and co-occurrence analysis required for this study (Chen et al, 2015). The time-slicing feature provision helps identify the top 50 levels of most occurred or most cited items from each slice that gives a unique panoramic network (Wang et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

Twenty-five years of career growth literature: a review and research agenda

Modem

Lakshminarayanan

Pillai

et al. 2021

ICT

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Purpose The dynamic career scenario and the significant change from traditionally placing careers in employers’ hands to self-managing one’s careers have sparked profound scholarly interest in career growth. This paper aims to analyze quadricentennial literature on career growth published during the years 1995 through 2020. In this paper, through bibliometric and integrative reviews, the authors address the two critical questions, “what do we know?” and “where should we go?” While the bibliometric review examines the evolution and trends, the integrative review examines the dynamics of conceptual frameworks, primary research foci, research context and quality in research designs and methods. Design/methodology/approach The study adopted preferred reporting items for systematic reviews and meta-analyses guidelines to identify the papers for this review. The data set comprised 102 papers and 60 papers for bibliometric and integrative review, respectively. “CiteSpace” is used for the bibliometric analysis and the template designed by the authors is used for the integrative review. Findings The results present conceptual clarification for career growth and its related constructs. The bibliometric analysis findings highlight the extensive research on career growth followed by organizational career growth and career growth opportunities. The findings also show that seven of the top 10 productive authors are from China. This study also identifies theoretical, conceptual and methodological opportunities and provides recommendations intended to further research engagements across the different aspects of career growth. Originality/value To the best of the authors’ knowledge, this is the first study to introduce bibliometric analysis into career growth literature. This research adopts an integrative review approach and offers insights into career growth literature.

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“…Similar findings were reported earlier by Tal and Gordon [33] who argued that, although propaganda plays a very important role in our lives, it cannot be considered an autonomous field of research. Wang et al [34] carried out a bibliometric analysis of 970 articles indexed in WoS between 1989-2019 and found that the research on rumor propagation dynamics was directly linked with online social networks, social media and Twitter.…”

Section: Literature Review Of Bibliometric Studies On Information Disordersmentioning

confidence: 99%

Learning from Each Other—A Bibliometric Review of Research on Information Disorders

et al. 2021

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Interest in research connected to information disorders has grown considerably in recent years. The phrase “information disorders” refers to three different notions: dis-, mis-, and malinformation. It is difficult to pin down this new and dynamic phenomenon of informational disruption and to assess its impact on society. Therefore, we conducted a bibliometric analysis on the complexity of information disorders using the Web of Science Core Collection database from 1975 to June 2021. We analyzed 8964 papers with the goal to have an overall picture of the topic, clarify the knowledge framework of research in this field, examine the development dynamics, identify future research directions and increase the understanding of the research on information disorders. The following are our main findings: the number of publications, authors, and journals has increased; research on information disorders has earned considerable attention in multiple academic fields; there are more and more works written in collaboration by scholars from different parts and cultures of the world. This paper makes important contributions to the literature, not only by providing researchers and practitioners with a coherent and perceptible intellectual basis to find answers, but also by bringing valuable insights for further investigation and future research directions.

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Bibliometric Analysis of Rumor Propagation Research Through Web of Science from 1989 to 2019

Cited by 9 publications

References 71 publications

Bibliometric analysis of rumor detection via web of science from 1989 to 2021

Bibliometric analysis of rumor detection via web of science from 1989 to 2021

Twenty-five years of career growth literature: a review and research agenda

Learning from Each Other—A Bibliometric Review of Research on Information Disorders

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